TY - JOUR AU - Mao, Yingfan AU - Zhu, Yong AU - Qiu, Yudong AU - Kong, Weiwei AU - Mao, Liang AU - Zhou, Qun AU - Chen, Jun AU - He, Jian PY - 2019 TI - Predicting peritumoral Glisson’s sheath invasion of intrahepatic cholangiocarcinoma with preoperative CT imaging JF - Quantitative Imaging in Medicine and Surgery; Vol 9, No 2 (February 28, 2019): Quantitative Imaging in Medicine and Surgery Y2 - 2019 KW - N2 - Background: To investigate the differences of clinicopathological characteristics and computed tomography (CT) features between intrahepatic cholangiocarcinomas (ICC) with and without peritumoral Glisson’s sheath invasion (PGSI), and to construct a nomogram to predict PGSI of ICCs preoperatively. Methods: The clinicopathological characteristics and CT features of 84 ICCs were retrospectively analyzed and compared between ICCs with (30/84, 35.7%) and without PGSI (54/84, 64.3%). Multivariate logistic regression analysis was used to identify preoperative independent predictors of PGSI in ICCs. A nomogram was constructed to predict PGSI preoperatively. Results: ICCs with and without PGSI differed significantly in the presence of abdominal pain, serum carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) levels, TNM and T stages, tumor location, intratumoral calcifications, intrahepatic bile duct dilatation, intrahepatic bile duct calculus, morphologic type and dynamic enhancement pattern on CT images (all P Conclusions: Clinicopathological characteristics and CT features differed significantly between ICCs with and without PGSI. A nomogram including abdominal pain, serum CEA level, intrahepatic bile duct dilatation, and morphologic type could predict PGSI accurately. UR - https://qims.amegroups.org/article/view/23285